SKU: 48670830091
friendly soap shampoo bar lavender and tea tree

friendly soap shampoo bar lavender and tea tree Friendly Soap Natural Shampoo Bar Lavender & Tea Tree 95g – Little Green Refills

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Description

friendly soap shampoo bar lavender and tea tree Friendly Soap Natural Shampoo Bar Lavender & Tea Tree 95g – Little Green RefillsAdd a touch of relaxation to your natural haircare routine with this lavender and tea tree shampoo bar, made with a nourishing blend of castor oil, coconut, and olive oil. This unique mix of natural oils helps to keep your hair clean and moisturised, leaving it feeling fresh and lively. The comforting fragrances of lavender and tea tree essential oils come together to create a tranquil and calming aroma that transports you to a place of relaxation and

Add a touch of relaxation to your natural haircare routine with this lavender and tea tree shampoo bar, made with a nourishing blend of castor oil, coconut, and olive oil. This unique mix of natural oils helps to keep your hair clean and moisturised, leaving it feeling fresh and lively.

The comforting fragrances of lavender and tea tree essential oils come together to create a tranquil and calming aroma that transports you to a place of relaxation and will elevate your hair care routine.

At Friendly Soap, they are on a mission to encourage people to make environmentally responsible choices when shopping. That's why each of their eco friendly shampoo bars is made with plant-based ingredients and is entirely free from plastic, palm oil, and harmful chemicals like SLS and parabens, making them a superb choice for both your skin and the planet.

They are also proudly accredited by Cruelty-Free International and The Vegan Society, as they strongly believe that vanity should never come at the expense of any kind of animal suffering.

Indulge in the ultimate hair care experience with our lavender and tea tree natural shampoo bar, carefully crafted to treat your hair with the gentleness it deserves. Revel in hair that feels incredibly refreshed and healthier than you ever imagined.

95g  pH8-9

Ingredients: Sodium cocoate, Sodium olivate, Aqua, Sodium castorate, Argania spinosa (argan) kernel oil, Melaleuca alternifolia (tea tree) leaf oil contains limonene, Lavandula angustifolia (lavender) oil contains linalool

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SKU: 48670830091

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4.3 ★★★★★
Based on 30 reviews
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Product Reviews
E
eyal Fishman
Natrona Heights, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Grantham, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Grantham, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Louisville, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Natrona Heights, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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